Introduction to Machine Learning | CMU | Spring 2020

Explore the fundamental concepts and algorithms of machine learning with experienced instructors from Carnegie Mellon University.

Introduction

This course provides an introduction to machine learning, a powerful set of techniques that have great practical value in a wide range of application domains. The course covers the foundations of machine learning, including supervised learning (classification and regression), unsupervised learning (clustering, dimensionality reduction, and anomaly detection), and reinforcement learning.

Highlights

• Covers the fundamental concepts and algorithms in machine learning
• Includes both theoretical and practical aspects of machine learning
• Taught by experienced instructors from Carnegie Mellon University

Recommendation

This course is recommended for anyone interested in understanding the principles and applications of machine learning. It is suitable for students, researchers, and professionals in various fields, including computer science, engineering, data science, and business.

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